Optimisation & Generalisation in Networks of Neurons

18 October 2022

Papers citing "Optimisation & Generalisation in Networks of Neurons"

6 / 6 papers shown

Title
Automatic Optimisation of Normalised Neural Networks Namhoon Cho Hyo-Sang Shin 19 1 0 17 Dec 2023
Automatic Gradient Descent: Deep Learning without Hyperparameters Jeremy Bernstein Chris Mingard Kevin Huang Navid Azizan Yisong Yue ODL 11 17 0 11 Apr 2023
Learning by Turning: Neural Architecture Aware Optimisation Yang Liu Jeremy Bernstein M. Meister Yisong Yue ODL 39 26 0 14 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 220 510 0 11 Feb 2021
On the distance between two neural networks and the stability of learning Jeremy Bernstein Arash Vahdat Yisong Yue Ming-Yu Liu ODL 190 57 0 09 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020